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Condition Monitoring of Rotating Machinery with Acoustic Emission: A British–Australian Collaboration

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Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Industries such as transport and energy generation are aiming to create cleaner, lighter, more reliable and safer technology. Condition monitoring of rotating machinery is an established way of reducing maintenance costs and associated downtime. Whereas vibration based condition monitoring has been validated in literature and in industrial applications, acoustic emission (AE) technologies are a relatively new and unexplored solution for machine diagnostics. Being based on the passive recording of ultrasonic stress waves, their frequency range gives direct access to phenomena such as friction in gear teeth sliding, bearing rolling contacts and crack formation and propagation. However, the complexity of AE signals generated in multiple machine components requires a better understanding of their link with tribological phenomena. To further knowledge in this area, a team of researchers from Cardiff University, Queensland University of Technology and University of New South Wales are conducting a joint research activity which includes: (i) the use of a twin-disk test-rig to reproduce controlled rolling-sliding contact conditions typical of gear contacts, (ii) the analysis of AE data using advanced cyclostationary signal processing and (iii) the establishment of a relationship between tribological conditions and AE signal characteristics. This paper outlines this project, discusses its preliminary results and introduces future extensions of this research to key industrial applications.

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References

  1. Chittenden R, Dowson D, Dunn J, Taylor C (1985) A theoretical analysis of the isothermal elastohydrodynamic lubrication of concentrated contacts I. Proc R Soc Lond 397(A):245–269

    Google Scholar 

  2. Choudhury A, Tandon N (2000) Application of acoustic emission technique for the detection of defects in rolling element bearings. Tribol Int 33:39–45

    Article  Google Scholar 

  3. Clarke A, Weeks IJJ, Evans HP, Snidle RW (2016) An investigation into mixed lubrication conditions using electrical contact resistance techniques. Tribol Int 93:709–716. https://doi.org/10.1016/j.triboint.2014.10.010

    Article  Google Scholar 

  4. Clarke A, Weeks IJJ, Snidle RW, Evans HP (2016) Running-in and micropitting behaviour of steel surfaces under mixed lubrication conditions. Tribol Int 101:59–68. https://doi.org/10.1016/j.triboint.2016.03.007

    Article  Google Scholar 

  5. Cockerill A, Clarke A, Pullin R, Bradshaw T, Cole P, Holford K (2016) Determination of rolling element bearing condition via acoustic emission. Proc Inst Mech Eng Part J: J Eng Tribol 230(11):1377–1388. https://doi.org/10.1177/1350650116638612

    Article  Google Scholar 

  6. Couturier J, Mba D (2008) Operational bearing parameters and acoustic emission generation. J Vibr Acoust 130:24502. https://doi.org/10.1115/1.2776339

    Article  Google Scholar 

  7. Crivelli D, McCrory J, Miccoli S, Pullin R, Clarke A (2017) Gear tooth root fatigue test monitoring with continuous acoustic emission: advanced signal processing techniques for detection of incipient failure. Structural Health Monit. https://doi.org/10.1177/1475921717700567

    Article  Google Scholar 

  8. Decker HJ (2002) NASA-TM2002-211491: Gear crack detection using tooth analysis

    Google Scholar 

  9. Decker HJ (2002) NASA-TM2002-211492: Crack detection of aerospace quality gears

    Google Scholar 

  10. Guangteng G, Spikes HA (1996) An experimental study of film thickness in the mixed lubrication regime. In: Dowson D (ed) Elastohydrodynamics 96: fundamentals and applications in lubrication and traction. Elsevier, Amsterdam, pp 159–166. https://doi.org/10.1016/s0167-8922(08)70445-0

    Chapter  Google Scholar 

  11. Loutas TH, Sotiriades G, Kalaitzoglou I, Kostopoulos V (2009) Condition monitoring of a single-stage gearbox with artificially induced gear cracks utilizing on-line vibration and acoustic emission measurements. Appl Acoust 70(9):1148–1159. https://doi.org/10.1016/j.apacoust.2009.04.007

    Article  Google Scholar 

  12. Raja Hamzah RI, Mba D (2007) Acoustic emission and specific film thickness for operating spur gears. J Tribol 129(4):860–867. https://doi.org/10.1115/1.2769732

    Article  Google Scholar 

  13. Sebastian C, Patterson E, Ostberg D (2011) Comparison of numerical and experimental strain measurements of a composite panel using image decomposition. Appl Mech Mater 70:63–68. https://doi.org/10.4028/www.scientific.net/AMM.70.63

    Article  Google Scholar 

  14. Sharif K, Evans H, Snidle R (2012) Modelling of elastohydrodynamic lubrication and fatigue of rough surfaces: the effect of lambda ratio. Proc Inst Mech Engineers Part J: J Eng Tribol 226(12):1039–1050. https://doi.org/10.1177/1350650112458220

    Article  Google Scholar 

  15. Spinato F, Tavner PJ, van Bussel GJW, Koutoulakos E (2009) Reliability of wind turbine subassemblies. IET Renew Power Gener 3(4):387–401. https://doi.org/10.1049/iet-rpg:20080060

  16. Tan CK, Mba D (2005) Identification of the acoustic emission source during a comparative study on diagnosis of a spur gearbox. Tribol Int 38(5):469–480. https://doi.org/10.1016/j.triboint.2004.10.007

    Article  Google Scholar 

  17. Tavner PJ, Xiang J, Spinato F (2007) Reliability analysis for wind turbines. Wind Energy 10(1):1–18

    Article  Google Scholar 

  18. Vicuña CM (2014) Effects of operating conditions on the Acoustic Emissions (AE) from planetary gearboxes. Appl Acoust 77:150–158. https://doi.org/10.1016/j.apacoust.2013.04.017

    Article  Google Scholar 

  19. Williams T, Ribadeneira X, Billington S, Kurfess T (2001) Rolling element bearing diagnostics in run-to-failure lifetime testing. Mech Syst Signal Process 15(5):979–993. https://doi.org/10.1006/mssp.2001.1418

    Article  Google Scholar 

  20. Wong AK (2001) Vibration-based helicopter gearbox health monitoring—an overview of the research program in DSTO. In: Proceedings of defence science and technology organisation international conference on health and usage monitoring, pp 1–12

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Engineering, Cardiff University, The Parade, Cardiff, CF24 3AA, UK

    Davide Crivelli, Simon Hutt & Alastair Clarke

  2. Queensland University of Technology, Brisbane, QLD, Australia

    Pietro Borghesani

  3. University of New South Wales, Sydney, NSW, 2052, Australia

    Zhongxiao Peng & Robert Randall

Authors
  1. Davide Crivelli
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  2. Simon Hutt
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  3. Alastair Clarke
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  4. Pietro Borghesani
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  5. Zhongxiao Peng
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  6. Robert Randall
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Corresponding author

Correspondence to Davide Crivelli .

Editor information

Editors and Affiliations

  1. The Asset Institute, Queensland University of Technology, Brisbane, QLD, Australia

    Joseph Mathew

  2. Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong SAR, China

    C.W. Lim

  3. School of Chemistry, Physics, Mechanical Engineering, Queensland University of Technology, Brisbane, QLD, Australia

    Lin Ma

  4. Synengco Pty Ltd, Highgate Hill, QLD, Australia

    Don Sands

  5. School of Chemistry, Physics, Mechanical Engineering, Queensland University of Technology, Brisbane, QLD, Australia

    Michael E. Cholette

  6. School of Mechanical and Manufacturing Engineering, UNSW Sydney, Sydney, NSW, Australia

    Pietro Borghesani

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Crivelli, D., Hutt, S., Clarke, A., Borghesani, P., Peng, Z., Randall, R. (2019). Condition Monitoring of Rotating Machinery with Acoustic Emission: A British–Australian Collaboration. In: Mathew, J., Lim, C., Ma, L., Sands, D., Cholette, M., Borghesani, P. (eds) Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-95711-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-95711-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95710-4

  • Online ISBN: 978-3-319-95711-1

  • eBook Packages: EngineeringEngineering (R0)

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